The INTERACT workshop focuses on a cutting-edge area at the intersection of Machine Learning (ML), the Internet of Things (IoT), and communication networks. This field is specifically concerned with developing and optimizing techniques for deploying and operating TinyML on IoT devices used in consumer applications while ensuring seamless communication and networking.
The main challenges in this field involve handling the trade-off between resource usage (battery life, data usage) and maintaining high levels of performance and reliability in the machine learning models and communication protocols. This includes optimizing power-efficient algorithms, creating robust low-power communication protocols, managing networks of devices, and ensuring reliable and timely data transfer.
In summary, the "Communication and Networking for TinyML-based Consumer Applications" area is an exciting and challenging field of research that has the potential to significantly impact the way we interact with technology in our daily lives.
